肠道细菌分析信息在肥胖和减肥管理精准营养中的应用

IF 2 4区 医学 Q3 GENETICS & HEREDITY Lifestyle Genomics Pub Date : 2024-01-12 DOI:10.1159/000536156
O. Ramos-López, P. Aranaz, J. Riezu-Boj, F. Milagro
{"title":"肠道细菌分析信息在肥胖和减肥管理精准营养中的应用","authors":"O. Ramos-López, P. Aranaz, J. Riezu-Boj, F. Milagro","doi":"10.1159/000536156","DOIUrl":null,"url":null,"abstract":"Background: It has been suggested that the dysfunction of the gut microbiome can have deleterious effects on the regulation of body weight and adiposity by affecting energy metabolism. In this context, gut bacterial profiling studies have contributed to characterize specific bacteria associated with obesity. This review covers the information driven by gut bacterial profiling analyses and emphasizes the potential application of this knowledge in precision nutrition strategies for obesity understanding and weight loss management.\nSummary: Gut bacterial profiling studies have identified bacterial families that are more abundant in obese than in non-obese individuals (i.e. Prevotellaeae, Ruminococcaceae, and Veillonellaceae) as well as other families that have been repeatedly found more abundant in non-obese people (i.e. Christensenellaceae and Coriobacteriaceae), suggesting that an increase in their relative amount could be an interesting target in weight-loss treatments. Also, some gut-derived metabolites have been related to the regulation of body weight, including short chain fatty acids (SCFA), trimethylamine-N-oxide (TMAO), and branched-chain and aromatic amino acids. Moreover, gut microbiota profiles may play a role in determining weight loss responses to specific nutritional treatments for the precise management of obesity. Thus, incorporating gut microbiota features may improve the performance of integrative models to predict weight loss outcomes.\nKey Messages: The application of gut bacterial profiling information is of great value for precision nutrition in metabolic diseases, since it contributes to the understanding of the role of the gut microbiota in obesity onset and progression, facilitates the identification of potential microorganism targets, and allows the personalization of tailored weight loss diets as well as the prediction of adiposity outcomes based on the gut bacterial profiling of each individual. Integrating microbiota information with other omics knowledge (genetics, epigenetics, transcriptomics, proteomics, and metabolomics) may provide a more comprehensive understanding of the molecular and physiological events underlying obesity and adiposity outcomes for precision nutrition. \n","PeriodicalId":18030,"journal":{"name":"Lifestyle Genomics","volume":"1 12","pages":""},"PeriodicalIF":2.0000,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of gut bacterial profiling information in precision nutrition for obesity and weight loss management\",\"authors\":\"O. Ramos-López, P. Aranaz, J. Riezu-Boj, F. Milagro\",\"doi\":\"10.1159/000536156\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: It has been suggested that the dysfunction of the gut microbiome can have deleterious effects on the regulation of body weight and adiposity by affecting energy metabolism. In this context, gut bacterial profiling studies have contributed to characterize specific bacteria associated with obesity. This review covers the information driven by gut bacterial profiling analyses and emphasizes the potential application of this knowledge in precision nutrition strategies for obesity understanding and weight loss management.\\nSummary: Gut bacterial profiling studies have identified bacterial families that are more abundant in obese than in non-obese individuals (i.e. Prevotellaeae, Ruminococcaceae, and Veillonellaceae) as well as other families that have been repeatedly found more abundant in non-obese people (i.e. Christensenellaceae and Coriobacteriaceae), suggesting that an increase in their relative amount could be an interesting target in weight-loss treatments. Also, some gut-derived metabolites have been related to the regulation of body weight, including short chain fatty acids (SCFA), trimethylamine-N-oxide (TMAO), and branched-chain and aromatic amino acids. Moreover, gut microbiota profiles may play a role in determining weight loss responses to specific nutritional treatments for the precise management of obesity. Thus, incorporating gut microbiota features may improve the performance of integrative models to predict weight loss outcomes.\\nKey Messages: The application of gut bacterial profiling information is of great value for precision nutrition in metabolic diseases, since it contributes to the understanding of the role of the gut microbiota in obesity onset and progression, facilitates the identification of potential microorganism targets, and allows the personalization of tailored weight loss diets as well as the prediction of adiposity outcomes based on the gut bacterial profiling of each individual. Integrating microbiota information with other omics knowledge (genetics, epigenetics, transcriptomics, proteomics, and metabolomics) may provide a more comprehensive understanding of the molecular and physiological events underlying obesity and adiposity outcomes for precision nutrition. \\n\",\"PeriodicalId\":18030,\"journal\":{\"name\":\"Lifestyle Genomics\",\"volume\":\"1 12\",\"pages\":\"\"},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2024-01-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lifestyle Genomics\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1159/000536156\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"GENETICS & HEREDITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lifestyle Genomics","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1159/000536156","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0

摘要

背景:有研究表明,肠道微生物组的功能紊乱会影响能量代谢,从而对体重和脂肪的调节产生有害影响。在这种情况下,肠道细菌分析研究有助于确定与肥胖有关的特定细菌的特征。本综述涵盖了肠道细菌图谱分析所提供的信息,并强调了将这些知识应用于精准营养策略以了解肥胖和控制体重的可能性。肠道细菌图谱研究发现了肥胖者比非肥胖者体内含量更多的细菌科(即前驱菌科(Prevotellae)、反刍球菌科(Ruminococcaceae)和Veillonellaceae),以及在非肥胖者体内含量更多的其他细菌科(即Christensenellaceae和Coriobacteriaceae)。此外,一些来自肠道的代谢物也与体重调节有关,包括短链脂肪酸(SCFA)、三甲胺-N-氧化物(TMAO)以及支链氨基酸和芳香族氨基酸。此外,肠道微生物群特征可能在决定对特定营养疗法的减肥反应方面发挥作用,从而精确控制肥胖症。因此,纳入肠道微生物群特征可提高综合模型预测减肥结果的性能:肠道细菌图谱信息的应用对代谢性疾病的精准营养具有重要价值,因为它有助于了解肠道微生物群在肥胖发生和发展过程中的作用,便于确定潜在的微生物靶标,并可根据每个人的肠道细菌图谱个性化定制减肥饮食和预测肥胖结果。将微生物区系信息与其他全局组学知识(遗传学、表观遗传学、转录组学、蛋白质组学和代谢组学)结合起来,可以更全面地了解肥胖和肥胖结果的分子和生理事件,从而实现精准营养。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Application of gut bacterial profiling information in precision nutrition for obesity and weight loss management
Background: It has been suggested that the dysfunction of the gut microbiome can have deleterious effects on the regulation of body weight and adiposity by affecting energy metabolism. In this context, gut bacterial profiling studies have contributed to characterize specific bacteria associated with obesity. This review covers the information driven by gut bacterial profiling analyses and emphasizes the potential application of this knowledge in precision nutrition strategies for obesity understanding and weight loss management. Summary: Gut bacterial profiling studies have identified bacterial families that are more abundant in obese than in non-obese individuals (i.e. Prevotellaeae, Ruminococcaceae, and Veillonellaceae) as well as other families that have been repeatedly found more abundant in non-obese people (i.e. Christensenellaceae and Coriobacteriaceae), suggesting that an increase in their relative amount could be an interesting target in weight-loss treatments. Also, some gut-derived metabolites have been related to the regulation of body weight, including short chain fatty acids (SCFA), trimethylamine-N-oxide (TMAO), and branched-chain and aromatic amino acids. Moreover, gut microbiota profiles may play a role in determining weight loss responses to specific nutritional treatments for the precise management of obesity. Thus, incorporating gut microbiota features may improve the performance of integrative models to predict weight loss outcomes. Key Messages: The application of gut bacterial profiling information is of great value for precision nutrition in metabolic diseases, since it contributes to the understanding of the role of the gut microbiota in obesity onset and progression, facilitates the identification of potential microorganism targets, and allows the personalization of tailored weight loss diets as well as the prediction of adiposity outcomes based on the gut bacterial profiling of each individual. Integrating microbiota information with other omics knowledge (genetics, epigenetics, transcriptomics, proteomics, and metabolomics) may provide a more comprehensive understanding of the molecular and physiological events underlying obesity and adiposity outcomes for precision nutrition.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Lifestyle Genomics
Lifestyle Genomics Agricultural and Biological Sciences-Food Science
CiteScore
4.00
自引率
7.70%
发文量
11
审稿时长
28 weeks
期刊介绍: Lifestyle Genomics aims to provide a forum for highlighting new advances in the broad area of lifestyle-gene interactions and their influence on health and disease. The journal welcomes novel contributions that investigate how genetics may influence a person’s response to lifestyle factors, such as diet and nutrition, natural health products, physical activity, and sleep, amongst others. Additionally, contributions examining how lifestyle factors influence the expression/abundance of genes, proteins and metabolites in cell and animal models as well as in humans are also of interest. The journal will publish high-quality original research papers, brief research communications, reviews outlining timely advances in the field, and brief research methods pertaining to lifestyle genomics. It will also include a unique section under the heading “Market Place” presenting articles of companies active in the area of lifestyle genomics. Research articles will undergo rigorous scientific as well as statistical/bioinformatic review to ensure excellence.
期刊最新文献
Guidance and position of RINN22 regarding precision nutrition and nutriomics. Erratum. Application of gut bacterial profiling information in precision nutrition for obesity and weight loss management Role of Presurgical Gut Microbial Diversity in Roux-en-Y Gastric Bypass Weight-Loss Response: A Cohort Study. The Molecular Basis of Olfactory Dysfunction in COVID-19 and Long COVID.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1